Jana Radakovic

Publications

• Modification of N-doped TiO2photocatalysts using noble metals (Pt, Pd) - A combined XPS and DFT study
• Theoretical investigation of interaction of hydrogen and intermetallic compound YCo5
• Study on electronic properties of α-, β- and γ-AlH3– The theoretical approach
• BiFeO3 perovskites: A multidisciplinary approach to multiferroics
• Origin of photocatalytic activity enhancement in Pd/Pt-deposited anatase N-TiO2 – experimental insights and DFT study of the (001) surface
• Influence of Defects on the Stability and Hydrogen‐Sorption Behavior of Mg‐Based Hydrides
• Density functional theory guide to structure and thermodynamics of metal hydrides - Case study of (Ti, Zr, Hf)Ni intermetallic compounds
• HfNi and its hydrides - First principles calculations
• Enhancing photocatalytic properties of rutile TiO2 by codoping with N and metals - Ab initio study
• First-principles study of the thermodynamic properties and electronic structure of compounds from Hf-Ni phase system
• First principles study of HfV 2 and ZrV 2 phases: Structural analysis and site preference of Cd and Ta dopants
• Hydrogen storage in Laves phases: First principles study of electronic structure and formation energies in HfV2 hydrides
• Transition metal doping of Mg2FeH6-a DFT insight into synthesis and electronic structure
• Interstitial hydrogen in Laves phases-local electronic structure modifications from first-principles
• Hydrogen diffusion in MgH2 doped with Ti, Mn and Fe
• Ab initio study of hyperfine interaction parameters in C14 Hf and Zr Laves-phase compounds
• Hydridic, thermodynamic and kinetic properties of Hf2Ni intermetallic phase
• Structure identification and site preference of Ta and Cd in Ti-Pd alloys: A first-principle study
• Influence of Ta and Nb on the hydrogen absorption kinetics in Zr-based alloys
• Theoretical and experimental study of the titanium substituted Mg2-xTixNi alloys and Mg2-xTixNiH4 hydrides
• Review of computational advances in tailoring magnesium-hydrogen interactions: Atomistic simulations meet machine learning